AirLLM vs Milvus

A side-by-side comparison of features, pricing, and characteristics.

AirLLM

Open-source Python library that runs very large language models on low-memory GPUs by streaming model layers one at a time.

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Milvus

Milvus is a high-performance, open-source vector database built for scalable similarity search.

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AttributeAirLLMMilvus
Pricing typeFreeFree + paid (from $0/mo)
Korean supportNoYes
PlatformsLinux, macOS, CUDA-enabled NVIDIA GPUs, Apple SiliconWeb, API, CLI
Open sourceYesYes
API available-Available
SDK-Available
LLM-based--
Multimodal-Yes
AI modelLlama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma-
GitHub Stars33.8K44.5K
VendorAnima AI LLCZilliz
CategoryDeveloper ToolsDeveloper Tools
DetailsView View

AirLLM key features

  • Reducing GPU memory usage through layer-wise model streaming
  • Supporting inference of 70B-class models on a single 4GB GPU
  • AutoModel interface based on Hugging Face model IDs
  • 4-bit and 8-bit block-wise model compression
  • Supporting CPU inference and Apple Silicon macOS
  • Supporting various model families including Llama, Qwen, DeepSeek, and Mistral

Milvus key features

  • Billion-scale Vector Search
  • Cloud-native Architecture
  • Multiple Indexing Algorithms
  • Decoupled Storage/Compute
  • High Availability
  • Hybrid Search